Triple
T17550801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sparnacien |
E427455
|
entity |
| Predicate | hasFemaleForm |
P17779
|
FINISHED |
| Object | Sparnacienne |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Sparnacienne | Statement: [Sparnacien, hasFemaleForm, Sparnacienne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sparnacienne Context triple: [Sparnacien, hasFemaleForm, Sparnacienne]
-
A.
Sparnacienne
chosen
Sparnacienne is a French demonym referring to a female inhabitant or native of the town of Épernay in the Champagne region.
-
B.
Sparnacien
Sparnacien is the French demonym for an inhabitant of the town of Épernay in the Champagne region.
-
C.
Flammonde
"Flammonde" is a narrative poem by Edwin Arlington Robinson that portrays a mysterious, charismatic stranger whose arrival profoundly influences a small town and its inhabitants.
-
D.
Falaisiens
Falaisiens are the inhabitants of the town of Falaise in the Calvados department of Normandy, France.
-
E.
Tarrinzean
Tarrinzean is a Scottish place or estate whose name was adopted for the title "Lord Tarrinzean and Mauchline."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e454656dc08190bba85b93bd07b0a2 |
completed | April 19, 2026, 4:04 a.m. |
Created at: April 10, 2026, 5:50 a.m.